Artificial Intelligence in Manufacturing leading to Sustainability and Industry5.0

Informacje na temat projektu

AIMS5.0

Identyfikator umowy o grant: 101112089

DOI

10.3030/101112089

Data podpisania przez KE 10 Maja 2023

Data rozpoczęcia 1 Maja 2023

Data zakończenia 30 Kwietnia 2026

Finansowanie w ramach

• Digital, Industry and Space

Koszt całkowity

€ 70 423 600,24

Wkład UE

€ 17 777 818,48

Koordynowany przez

INFINEON TECHNOLOGIES AG
Germany

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Documents, reports (6)

Preliminary micro service requirements and first architecture concepts

First descriptions of requirements from use cases and requirements to address WP3 objectives with indications on possibilities for addressing the requirements based on the Eclipse Arrowhead architecture and implementation platform and which extensions that will be needed.

Compilation of the methods and sources evaluated for the guidelines for all industrial AI Use Cases
Development and refinement plans for AI tools methods and algorithms

Preliminary descriptions of the AI tools methods and algorithms that are the basis of refinement and tai-loring according to the automation, process engineering and industrial supply chain requirements.Note: As this report is declared public, confidential annexes will be provided within the separate, sensitive deliverable D2.5.

Reports on updated Digital Reference 2

This will especially cover the extension to sustainability for external supply chain. For example, the details for the CO2 balance of automotive supply chain (including semiconductors) and regenerative energy generation supply chain (including semiconductors) is not in yet (DR).

Reports on updated Digital Reference 1

This will especially cover the extension to sustainability for internal semiconductor supply chain. For example, the ecological operating curve is not yet in the digital reference (DR)

Exploration of HW components for the edge processing platform

First, analysis of requirements from use cases and requirements to address objectives of WP2, WP3, and use-cases. Exploring of HW components fulfilling the requirements, the compatibility with sensors of the other partners, and under consideration of economic metrics.

Publikacje

Conference proceedings (17)

Digitalisation & AI for Industry 5.0 Applications to Make Semiconductor Manufacturing Sustainable

Autorzy: G. Schneider, F. Zoghlami, G. Luhn, F. Lindner, S .Keil
Opublikowane w: 22th. European Advanced Process Control and Manufacturing Conference, 2024
Wydawca: apcm Conference in Hamburg

Data Augmentation Based on Depth Information for Neural Radiance Fields

Autorzy: Hamed Razavi Khosroshahi, Jaime Sancho, Gun Bang, Gauthier Lafruit, Eduardo Juarez, and Mehrdad Teratani
Opublikowane w: Electronic Imaging Symposium, 2024
Wydawca: NA

A Self-assessment Tool to Encourage the Uptake of Artificial Intelligence in Digital Workspaces

Autorzy: Belal Abu Naim, Yasin Ghafourian, Markus Tauber, Fabian Lindner, Christoph Schmittner, Erwin Schoitsch, Germar Schneider, Olga Kattan, Gerald Reiner, Anna Ryabokon, Francesca Flamigni, Konstantina Karathanasopoulou, George Dimitrakopoulos
Opublikowane w: NOMS 2024-2024 IEEE Network Operations and Management Symposium, Numer 1, 2024
Wydawca: IEEE
DOI: 10.1109/NOMS59830.2024.10575125

Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD

Autorzy: V. Zaccaria, D. Dandolo, C. Masiero, G.A. Susto
Opublikowane w: 10th IEEE International Conference on Control, Decision and Information Technologies, (IEEE CODIT), 2024
Wydawca: NA

Making machine learning support accessible on the shop floor: visualising impeding bottlenecks in semiconductor manufacturing to induce proactive work behavior

Autorzy: F. Lindner, V. Ramadasu, G. Schneider, G. Luhn
Opublikowane w: Euroma Conference, 2024
Wydawca: Euroma Conference in Barcelona

Integrating Transport Loads in Production Planning. A Simulation Approach

Autorzy: V. Betker, M. Kühn, S. Rank, G. Schneider
Opublikowane w: 22th. European Advanced Process Control and Manufacturing Conference in Hamburg, 2024
Wydawca: APCM

Sustainability is the new normal in high-volume semiconductor frontend production: Balancing WIP flow for energy availability, cost and peak consumption

Autorzy: Hajo Terbrack, Holger Brandl, Tobias Sprogies, Karlheinz Leonardi
Opublikowane w: apcm conference Hamburg, 2024
Wydawca: APCM

Enhancing Predictive Analytics in Semiconductor Manufacturing: A Deep Learning Approach for Overall Equipment Efficiency Estimation

Autorzy: F. Boni, R. De Monte, Y. Yang, N. Gentner, J. K. Low, G. A. Susto
Opublikowane w: 10th IEEE International Conference on Control, Decision and Information Technologies, (IEEE CODIT), 2024
Wydawca: NA

Industry 5.0 and Operations Management—the Importance of Human Factors

Autorzy: Fabian Lindner, Gerald Reiner
Opublikowane w: NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 2023, ISSN 2374-9709
Wydawca: IEEE
DOI: 10.1109/NOMS56928.2023.10154282

Aggregated Simulation Modeling to Assess Product-Specific Safety Stock Targets During Market Up- and Downswings: A Case Study

Autorzy: Cas Rosman, Eric Weijers, Kai Schelthoff, Willem van Jaarsveld, Alp Akcay, Ivo Adan
Opublikowane w: 2024 Winter Simulation Conference (WSC), 2025
Wydawca: IEEE
DOI: 10.1109/WSC63780.2024.10838984

Supporting Energy Management At IFX Using Artifical Intelligence

Autorzy: F. Zoghlami, N. H. Annacota, M. Ernst, G. Welde, G. Schneider, C. Kögler, M. Wiese
Opublikowane w: Smart Systems Integration Conference in Hamburg, 2024
Wydawca: SSI

AcME-AD: Accelerated Model Explanations for Anomaly Detection

Autorzy: Valentina Zaccaria, David Dandolo, Chiara Masiero, Gian Antonio Susto
Opublikowane w: 2nd World Conference on eXplainable Artificial Intelligence, 2024
Wydawca: NA

Jointly optimizing intralogistics, WIP flow and stocker management in a segregated high-automation semiconductor font-end fab

Autorzy: Charlotte Lotze, Laurens Borgmann, Holger Brandl, Germar Schneider
Opublikowane w: apcm conference Hamburg, 2024
Wydawca: APCM

Leveraging Machine Signals for Device-Level Quality Detection and Automatic Root Cause Analysis in Semiconductor Wire Bonding

Autorzy: Kenneth J. Braakman, D. Martin Knotter, Alp Akcay, Ivo Adan
Opublikowane w: 2024 Winter Simulation Conference (WSC), 2025
Wydawca: IEEE
DOI: 10.1109/WSC63780.2024.10838790

Experimental Evaluation of Deep Neural Networks for Vehicle Model Identification

Autorzy: Amira Moualhi, Maryam Nezami, Saleh Mulhem, Georg Schilbach
Opublikowane w: The 22nd European Control Conference (ECC), 2024
Wydawca: NA

Variability reduction in semiconductor manufacturing using machine learning and explainable AI

Autorzy: V. Ramadasu, F. Lindner, G. Reiner, G. Schneider, G. Luhn
Opublikowane w: 33rd European Conference on Operational Research in Copenhagen, 2024
Wydawca: European Conference

Machine Learning and Explainable AI to Manage Process Variabilities and Resource Efficiencies in Semiconductor Manufacturing

Autorzy: V. Ramadasu, F. Lindner, G. Reiner, G. Schneider, F. Lindner, G. Luhn
Opublikowane w: 22th. European Advanced Process Control and Manufacturing Conference, 2024
Wydawca: apcm

Peer reviewed articles (6)

Heterogeneous domain adaptation and equipment matching: DANN-based Alignment with Cyclic Supervision (DBACS)

Autorzy: Natalie Gentner, Gian Antonio Susto
Opublikowane w: Computer & Industrial Engineering, Numer Volume 187, 2024, ISSN 1879-0550
Wydawca: Elsevier
DOI: 10.1016/j.cie.2023.109821

Future Generation Computer Systems

Autorzy: A. Mathew, V. Andrikopoulos, F. J. Blaauw, and D. Karastoyanova
Opublikowane w: Future Generation Computer Systems, Numer Volume 154, 2024, ISSN 0167-739X
Wydawca: Elsevier
DOI: 10.1016/j.future.2023.12.026

Learning Priority Indices for Energy-Aware Scheduling of Jobs on Batch Processing Machines.

Autorzy: Daniel Sascha Schorn, Lars Mönch
Opublikowane w: IEEE Transactions on Semiconductor Manufacturing, Numer 37(1), 2023, ISSN 1558-2345
Wydawca: IEEE
DOI: 10.1109/TSM.2023.3326865

CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds

Autorzy: Luciano Lorenti, Gian Antonio Susto
Opublikowane w: The Journal of Open Source Software, Numer 8(88), 5294, 2023, ISSN 2475-9066
Wydawca: Open Journals
DOI: 10.21105/joss.05294

On the Way to Realize the 5th Industrial Revolution: Achievements, Challenges and Research Areas

Autorzy: """G. Dimirakopoulos, K. Karathanasopoulou, T. Gutt, H. Ehm, A. Lackner, A. Hoess, G. Schneider"""
Opublikowane w: IEEE Industrial Electronics Magazine, 2023, ISSN 2374-9709
Wydawca: IEEE
DOI: 10.1109/NOMS56928.2023.10154446

Industry 5.0: Research Areas and Challenges With Artificial Intelligence and Human Acceptance

Autorzy: """G. Dimitrakopoulos, K. Karathanasopoulou, A. Lackner, P. Varga, J. Delsing, M. Tauber, G. Schneider, H. Ehm, T. Gutt, A. Hoess"""
Opublikowane w: IEEE Industrial Electronics Magazine, 2024, ISSN 1932-4529
Wydawca: IEEE
DOI: 10.1109/MIE.2024.3387068

Thesis and dissertations (3)

Finding effective preventive maintenance policies for multiple machines in a single buffered flow line

Autorzy: Frank Hartman
Opublikowane w: 2024
Wydawca: NA

An aggregation model for short-term WIP forecasting in a high-mix waferfab

Autorzy: Bram Smits
Opublikowane w: 2023
Wydawca: NA

Interpretable Evaluation of Factual Consistency in Abstractive Summarization

Autorzy: Daan Hegger
Opublikowane w: 2023
Wydawca: NA

Other (2)

The power of computer vision: enhancing manufacturing quality control by automated image classification

Autorzy: Corinna Kofler & Isabell Dicillia-Kowatsch
Opublikowane w: 2024
Wydawca: WiDS Villach

Carinthia dataset

Autorzy: Corinna Kofler, Sabrina Strauß, Anja Zernig, Ernesto Lazaro Garcia, Michael Boxleitner, Beatrix Mayr, Isabell Dicillia-Kowatsch, Claudia Anna Dohr
Opublikowane w: 2024
Wydawca: Zenodo
DOI: 10.5281/zenodo.10715190